參與方式:github.com/apachecn/ml…html
總體進度:github.com/apachecn/ml…前端
項目倉庫:github.com/apachecn/ml…node
認領:11/12,翻譯:8/12python
章節 | 貢獻者 | 進度 |
---|---|---|
零、前言 | @PEGASUS1993 | 100% |
1、介紹 | @PEGASUS1993 | |
2、符號和定義 | @PEGASUS1993 | |
3、基本算法 | ||
4、線性算法剖析 | @P3n9W31 | 100% |
5、基本實踐 | @chengchengbai | |
6、神經網絡和深度學習 | @xiemaycherry | 100% |
7、問題和答案 | @LaicZhang | 100% |
8、高級實踐 | @LaicZhang | 100% |
9、無監督學習 | @onlyonewater | 100% |
10、其它學習形式 | @kjlintong | 100% |
11、總結 | @kjlintong | 100% |
參與方式:github.com/apachecn/ui…linux
總體進度:github.com/apachecn/st…git
項目倉庫:github.com/apachecn/ui…程序員
認領:9/15,翻譯:8/15es6
章節 | 貢獻者 | 進度 |
---|---|---|
Lecture 1 | @Everglow0214 | 100% |
Lecture 2 | ||
Lecture 3 | @Everglow0214 | 100% |
Lecture 4 | @Everglow0214 | 100% |
Lecture 5 | @Everglow0214 | 100% |
Lecture 6 | @Everglow0214 | 100% |
Lecture 7 | @Everglow0214 | 100% |
Lecture 8 | @Everglow0214 | 100% |
Lecture 9 | @Everglow0214 | 100% |
Lecture 10 | @Everglow0214 | |
Lecture 11 | ||
Lecture 12 | ||
Lecture 13 | ||
Lecture 14 | ||
Lecture 15 |
參與方式:github.com/apachecn/ca…github
總體進度:github.com/apachecn/ca…web
認領:9/73,校對:0/73
認領:6/78,校對:6/78
認領:7/37,校對:7/37
章節 | 貢獻者 | 進度 |
---|---|---|
Cython - 概述 | @varyshare | 100% |
安裝 Cython | @varyshare | 100% |
構建 Cython 代碼 | @varyshare | 100% |
經過靜態類型更快的代碼 | @varyshare | 100% |
基礎教程 | @varyshare | 100% |
調用 C 函數 | @varyshare | 100% |
使用 C 庫 | @varyshare | 100% |
擴展類型(又名.cdef 類) | ||
pxd 文件 | ||
Caveats | ||
Profiling | ||
Unicode 和傳遞字符串 | ||
內存分配 | ||
純 Python 模式 | ||
使用 NumPy | ||
使用 Python 數組 | ||
進一步閱讀 | ||
相關工做 | ||
附錄:在 Windows 上安裝 MinGW | ||
語言基礎 | ||
擴展類型 | ||
擴展類型的特殊方法 | ||
在 Cython 模塊之間共享聲明 | ||
與外部 C 代碼鏈接 | ||
源文件和編譯 | ||
早期綁定速度 | ||
在 Cython 中使用 C ++ | ||
融合類型(模板) | ||
將 Cython 代碼移植到 PyPy | ||
Limitations | ||
Cython 和 Pyrex 之間的區別 | ||
鍵入的內存視圖 | ||
實現緩衝協議 | ||
使用並行性 | ||
調試你的 Cython 程序 | ||
用於 NumPy 用戶的 Cython | ||
Pythran 做爲 Numpy 後端 |
認領:1/73,校對:1/73
認領:1/44,翻譯:1/44
關於卷積神經網絡:認領:2/12,校對:2/12
章節 | 貢獻者 | 進度 |
---|---|---|
關於卷積神經網絡 | - | - |
1 | @daewis | 100% |
2.1.1-2.1.3 | @daewis | 100% |
2.1.4-2.1.6 | ||
2.2.1 | ||
2.2.2-2.2.3 | ||
2.3-2.4 | ||
3.1 | ||
3.2 | ||
3.3 | ||
3.4-3.5 | ||
4.1 | ||
4.2 |
認領:33/42,校對:33/42
章節 | 貢獻者 | 進度 |
---|---|---|
1.關於本書(ES2019 版) | @YouWillBe | 100% |
2.常見問題:本書 | @huangzijian888 | 100% |
3. JavaScript 的歷史和演變 | @t532 | 100% |
4.常見問題:JavaScript | @t532 | 100% |
5.概覽 | @kj415j45 | 100% |
6.語法 | @lq920320 | 100% |
7.在控制檯上打印信息(console.* ) |
@lq920320 | 100% |
8.斷言 API | @lq920320 | 100% |
9.測驗和練習入門 | @so-hard | 100% |
10.變量和賦值 | @so-hard | 100% |
11.值 | @lq920320 | 100% |
12.運算符 | @wizardforcel | 100% |
13.非值undefined 和null |
@wizardforcel | 100% |
14.布爾值 | @wizardforcel | 100% |
15.數字 | @wizardforcel | 100% |
16. Math |
@wizardforcel | 100% |
17. Unicode - 簡要介紹(高級) | @wizardforcel | 100% |
18.字符串 | @wizardforcel | 100% |
19.使用模板字面值和標記模板 | @wizardforcel | 100% |
20.符號 | @wizardforcel | 100% |
21.控制流語句 | @wizardforcel | 100% |
22.異常處理 | ||
23.可調用值 | ||
24.模塊 | ||
25.單個對象 | ||
26.原型鏈和類 | @lq920320 | 100% |
27.同步迭代 | @lq920320 | 100% |
28.數組(Array ) |
@52admln | 100% |
29.類型化數組:處理二進制數據(高級) | ||
30.映射(Map ) |
@so-hard | 100% |
31. WeakMaps(WeakMap ) |
||
32.集(Set ) |
@liuyepiaoxiang | 100% |
33. WeakSets(WeakSet ) |
||
34.解構 | @Kavelaa | 100% |
35.同步生成器(高級) | ||
36. JavaScript 中的異步編程 | @Kavelaa | 100% |
37.異步編程的 Promise | @iChrisJ | 100% |
38.異步函數 | @iChrisJ | 100% |
39.正則表達式(RegExp ) |
@iChrisJ | 100% |
40.日期(Date ) |
@facebesidewyj | 100% |
41.建立和解析 JSON(JSON ) |
||
42.其他章節在哪裏? | @wizardforcel | 100% |
認領:13/80,校對:13/80
認領:18/31,校對:15/31
章節 | 貢獻者 | 進度 |
---|---|---|
Preface | @xixici | 100% |
Getting Started | @xixici | 100% |
Apache HBase Configuration | @xixici | 100% |
Upgrading | @xixici | 100% |
The Apache HBase Shell | @xixici | 100% |
Data Model | @ruibababa | 100% |
HBase and Schema Design | @RaymondCode | 100% |
RegionServer Sizing Rules of Thumb | @ruibababa | |
HBase and MapReduce | @BridgetLai | 100% |
Securing Apache HBase | ||
Architecture | ||
In-memory Compaction | @mychaow | 100% |
Backup and Restore | @mychaow | 100% |
Synchronous Replication | @mychaow | 100% |
Apache HBase APIs | @xixici | 100% |
Apache HBase External APIs | @xixici | 100% |
Thrift API and Filter Language | @xixici | 100% |
HBase and Spark | @TsingJyujing | 100% |
Apache HBase Coprocessors | ||
Apache HBase Performance Tuning | ||
Troubleshooting and Debugging Apache HBase | ||
Apache HBase Case Studies | @540928898 | |
Apache HBase Operational Management | ||
Building and Developing Apache HBase | ||
Unit Testing HBase Applications | ||
Protobuf in HBase | ||
Procedure Framework (Pv2): HBASE-12439 | ||
AMv2 Description for Devs | ||
ZooKeeper | @ruibababa | |
Community | ||
Appendix |
認領:23/28,翻譯:23/28
標題 | 譯者 | 翻譯進度 |
---|---|---|
1、基礎 | 飛龍 | 100% |
2、計算概率 | 飛龍 | 100% |
3、隨機變量 | 飛龍 | 100% |
4、事件之間的關係 | @biubiubiuboomboomboom | 100% |
5、事件集合 | - | - |
5.1 ~5.3 | @PEGASUS1993 | 100% |
5.4 | ||
6、隨機計數 | @viviwong | 100% |
7、泊松化 | @YAOYI626 | 100% |
8、指望 | - | - |
8.1 ~ 8.2 | @PEGASUS1993 | 100% |
8.3 | ||
9、條件(續) | @YAOYI626 | 100% |
10、馬爾科夫鏈 | 喵十八 | 100% |
11、馬爾科夫鏈(續) | 喵十八 | 100% |
12、標準差 | 缺只薩摩 | 100% |
十3、方差和協方差 | 缺只薩摩 | 100% |
十4、中心極限定理 | 喵十八 | 100% |
十5、連續分佈 | ||
十6、變換 | @hellozhaihy | 100% |
十7、聯合密度 | @Winchester-Yi | 100% |
十8、正態和 Gamma 族 | @Winchester-Yi | 100% |
十9、和的分佈 | 平淡的天 | 100% |
二10、估計方法 | 平淡的天 | 100% |
二11、Beta 和二項 | @lvzhetx | 100% |
二12、預測 | - | - |
22.1 | @lvzhetx | 100% |
22.2 ~ 22.4 | ||
二十3、聯合正態隨機變量 | ||
二十4、簡單線性迴歸 | @ThomasCai | 100% |
二十5、多元迴歸 | @lanhaixuan | 100% |
認領:24/64,校對:22/64
認領:25/72,校對:21/72
認領:11/12,翻譯:11/12
標題 | 譯者 | 進度 |
---|---|---|
1、算法複雜度 | @leader402 | 100% |
2、抽象數據類型 | @Allenyep | 100% |
3、知足規範 | @renyuhuiharrison | 100% |
4、序列和它們的實現 | @biubiubiuboomboomboom | 100% |
5、樹 | @biubiubiuboomboomboom | 100% |
6、搜索樹 | @yongfengyan | 100% |
7、哈希 | @Abel-Huang | 100% |
8、排序和選擇 | @Rachel-Hu | 100% |
9、平衡搜索 | @Abel-Huang | 100% |
10、併發和同步 | @Ruffianjiang | 100% |
11、僞隨機序列 | ||
12、圖 | @yuanrw | 100% |
認領:19/77,翻譯:13/77
認領:9/20,整理:8/20
章節 | 貢獻者 | 進度 |
---|---|---|
Lecture 1 | @cx123cx456 | 100% |
Lecture 2 | @AllenZYJ | |
Lecture 3 | @cx123cx456 | 100% |
Lecture 4 | @ZSIRS | 100% |
Lecture 5 | @ZSIRS | 100% |
Lecture 6 | @ZSIRS | 100% |
Lecture 7 | ||
Lecture 8 | ||
Lecture 9 | ||
Lecture 10 | ||
Lecture 11 | @Originval | 100% |
Lecture 12 | ||
Lecture 13 | ||
Lecture 14 | ||
Lecture 15 | ||
Lecture 16 | ||
Lecture 17 | @pingjing233 | 100% |
Lecture 18 | ||
Lecture 19 | ||
Lecture 20 | @Willianan | 100% |
認領:2/59,整理:0/59
章節 | 貢獻者 | 進度 |
---|---|---|
Game Theory I Week 1 Game Theory Intro - TCP Backoff | @whoKnowsss | |
Game Theory I Week 1 Self-Interested Agents and Utility Theory | ||
Game Theory I Week 1 Defining Games | ||
Game Theory I Week 1 Examples of Games | ||
Game Theory I Week 1 Nash Equilibrium Intro | ||
Game Theory I Week 1 Strategic Reasoning | ||
Game Theory I Week 1 Best Response and Nash Equilibrium | ||
Game Theory I Week 1 Nash Equilibrium of Example Games | ||
Game Theory I Week 1 Dominant Strategies | ||
Game Theory I Week 1 Pareto Optimality | ||
Game Theory I Week 2 Mixed Strategies and Nash Equilibrium (I) | ||
Game Theory I Week 2 Mixed Strategies and Nash Equilibrium (II) | ||
Game Theory I Week 2 Computing Mixed Nash Equilibrium | ||
Game Theory I Week 2 Hardness Beyond 2x2 Games - Basic | ||
Game Theory I Week 2 Hardness Beyond 2x2 Games - Advanced | ||
Game Theory I Week 2 Example: Mixed Strategy Nash | ||
Game Theory I Week 2 Data: Professional Sports and Mixed Strategies | ||
Game Theory I Week 3 Beyond the Nash Equilibrium | ||
Game Theory I Week 3 Strictly Dominated Strategies & Iterative Removal | ||
Game Theory I Week 3 Dominated Strategies & Iterative Removal: An Application | ||
Game Theory I Week 3 Maxmin Strategies | ||
Game Theory I Week 3 Maxmin Strategies - Advanced | ||
Game Theory I Week 3 Correlated Equilibrium: Intuition | ||
Game Theory I Week 4 Perfect Information Extensive Form: Taste | ||
Game Theory I Week 4 Formalizing Perfect Information Extensive Form Games | ||
Game Theory I Week 4 Perfect Information Extensive Form: Strategies, BR, NE | ||
Game Theory I Week 4 Subgame Perfection | ||
Game Theory I Week 4 Backward Induction | ||
Game Theory I Week 4 Subgame Perfect Application: Ultimatum Bargaining | ||
Game Theory I Week 4 Imperfect Information Extensive Form: Poker | ||
Game Theory I Week 4 Imperfect Information Extensive Form: Definition, Strategies | ||
Game Theory I Week 4 Mixed and Behavioral Strategies | ||
Game Theory I Week 4 Incomplete Information in the Extensive Form: Beyond Subgame Perfection | ||
Game Theory II week 1 Social Choice: Taste | @whoKnowsss | |
Game Theory II week 1 Social Choice: Voting Schemes | ||
Game Theory II week 1 Social Choice: Paradoxical Outcomes | ||
Game Theory II week 1 Social Choice: Impossibility of Non-Paradoxical Social Welfare Functions | ||
Game Theory II week 1 Social Choice: Arrow's Theorem | ||
Game Theory II week 1 Impossible of Non-paradoxical Social Choice Functions | ||
Game Theory II week 1 Single-Peaked Preferences | ||
Game Theory II week 2 Mechanism Design: Taste | ||
Game Theory II week 2 Mechanism Design: Implementation | ||
Game Theory II week 2 Revelation Principle | ||
Game Theory II week 2 Impossibility of General, Dominant-Strategy Implementation | ||
Game Theory II week 2 Transferable Utility | ||
Game Theory II week 2 Mechanism Design as an Optimization Problem | ||
Game Theory II week 3 VCG: Taste | ||
Game Theory II week 3 Vickrey-Clarke-Groves Mechanisms: Definitions | ||
Game Theory II week 3 VCG Example | ||
Game Theory II week 3 Limitations of VCG | ||
Game Theory II week 3 Individual Rationality and Budget Balance in VCG | ||
Game Theory II week 3 Myerson-Satterthwaite Theorem | ||
Game Theory II week 4 Auctions: Taste | ||
Game Theory II week 4 Auctions: Taxonomy | ||
Game Theory II week 4 Bidding in Second-Price Auctions | ||
Game Theory II week 4 Bidding in First-Price Auctions | ||
Game Theory II week 4 Revenue Equivalence | ||
Game Theory II week 4 Optimal Auctions | ||
Game Theory II week 4 More Advanced Auctions |
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